perf: 数据透视: 增加 老客户; 老客户推荐

src/libs/ht.js

@@ -206,6 +206,8 @@ export const pivotBy = (_data, [rows, columns, date]) => {
   let data = cloneDeep(_data).map(ele => {
     ele.PPPrice = (Number(ele.orderState) === 1 && ele.tourdays && ele.personNum)  ? fixToInt(ele.quotePrice / ele.tourdays / ele.personNum) : -1;
     ele.PPPriceRange = calcPPPriceRange(ele.PPPrice);
+    ele.IsOld_txt = ele.IsOld === '1' ? '老客户' : '否';
+    ele.isCusCommend_txt = ele.isCusCommend === '1' ? '老客户推荐' : '否';
     return ele;
   });
   // 数组的字段值, 拆分处理

src/views/DataPivot.jsx

@@ -23,6 +23,8 @@ const filterFields = [
   { key: 'travelMotivation', label: '出行目的' },
   // { key: 'operatorName', label: '顾问' },
   { key: 'WebCode', label: '来源站点' },
+  { key: 'IsOld_txt', label: '是否老客户' },
+  { key: 'isCusCommend_txt', label: '是否老客户推荐' },
   { key: 'destinationCountry_AsJOSN', label: '目的地国籍' },
   { key: 'PPPriceRange', label: '人均天/单区间(外币)' },
   // { key: 'unitPPPriceRange', label: '人均天(外币)' },